RR
4.0Reviewed Jul 25, 2020
Nice course to introduce you to more advanced neural network algorithms, I wish the evaluations were more challenging and based on practical exercises... there is no final assignment either.
Deep Learning with Keras and Tensorflow
Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics. In addition, Keras, a high-level neural networks API written in Python, has become an essential part of TensorFlow, making deep learning accessible and straightforward. Mastering these techniques will open many opportunities in research and industry. You will learn to create custom layers and models in Keras and integrate Keras with TensorFlow 2.x for enhanced functionality. You will develop advanced convolutional neural networks (CNNs) using Keras. You will also build transformer models for sequential data and time series using TensorFlow with Keras. The course also covers the principles of unsupervised learning in Keras and TensorFlow for model optimization and custom training loops. Finally, you will develop and train deep Q-networks (DQNs) with Keras for reinforcement learning tasks (an overview of Generative Modeling and Reinforcement Learning is provided). You will be able to practice the concepts learned using hands-on labs in each lesson. A culminating final project in the last module will provide you an opportunity to apply your knowledge to build a Classification Model using transfer learning. This course is suitable for all aspiring AI engineers who want to learn TensorFlow and Keras. It requires a working knowledge of Python programming and basic mathematical concepts such as gradients and matrices, as well as fundamentals of Deep Learning using Keras.
Status: Unsupervised Learning
Status: Keras (Neural Network Library)
IntermediateCourse23 hours
Featured reviews
KG
5.0Reviewed Feb 3, 2025
I have seen a lot of people explaining different things in Deep Learning, but I must admit, this course should be given 10 on 10 for covering everything theory to code, basics to advanced.
VH
5.0Reviewed Mar 4, 2021
This course is the best out of all courses in the specialization, the pace of the speaker was perfect.
PD
4.0Reviewed Jan 4, 2020
Very clear explanation and well organized course. I give 4 stars because videos of Week 5 are missing the audio and subtitles.
HJ
4.0Reviewed May 17, 2020
It would have been nice if the video tutorials would explain the code section as well, and if there would have been some in-depth teaching of the code part. But this course did benefit.
PC
4.0Reviewed Mar 31, 2020
The coding part was hard to understand. If that part could also be covered in videos as a tutorial.
MG
5.0Reviewed May 16, 2023
very well-constructed course for deep learning students. Really enjoyed. Many thanks for IBM
TJ
4.0Reviewed Feb 23, 2022
I expected some more explaination for the concepts. However from tensorflow website, more could be learnt.
JT
5.0Reviewed Sep 3, 2023
TensorFlow is fantastic! this course is great to learn the very many applications of the library.
MK
4.0Reviewed Nov 21, 2019
Good content. A bit too fast on some complex concepts and missing audio for the last lecture but great lecturer.
MW
5.0Reviewed Jul 28, 2023
This course had a best and fast pace understanding for ANN, DNN, RDM and Autoencoders with Tensorflow
RB
5.0Reviewed May 18, 2020
Excellent course to get started with tensorflow and deep learning.Really enjoyed the course.